A machine learning-based soil cultivation method for sugarcane seedlings in intertillage period

Abstract

The invention belongs to the field of machine learning, and relates to a machine learning-based method for cultivating sugarcane seedlings in the cultivating stage, comprising the following steps: 1) training and obtaining a recognition and positioning network model for cultivating sugarcane soil in the cultivating stage; Real-time feature extraction, target positioning, and obtaining and saving the coordinate information of the center point of the target; 3) Construct a coordinate classification system based on supervised learning, and divide the coordinate information of the center point of the prediction frame obtained by the real-time prediction target into the left and right sides of the sugarcane cultivator. 4) Calculate and process the two sets of coordinate data, and calculate the inclination value of each set of coordinate data; 5) The earth-building equipment makes real-time adjustments according to the size range of the inclination value to carry out earth-building operations. The invention realizes the precise prediction and control of the process of cultivating and cultivating sugarcane soil, reduces labor costs and machine costs, and has great significance for popularizing the intelligent development of cultivating and cultivating machines for sugarcane in the later stage.

Description

technical field [0001] The invention belongs to the field of machine learning, and relates to a method for cultivating sugarcane seedlings in the cultivation period based on machine learning. Background technique [0002] Sugarcane is a high-stem crop. Due to the influence of the natural environment, the plants will generally suffer from lodging, stagnant water, waterlogging and other problems after they grow. Therefore, the lodging resistance of the plants is to ensure the quality and yield of the subsequent sugarcane, as well as mechanized management and harvesting. It is an important guarantee, so sugarcane cultivation is one of the most important processes in the early planting of sugarcane. The cultivation of sugarcane is carried out at the seedling stage, which is helpful for the tillering and growth of sugarcane roots. The concave surface is unfavorable to mechanized harvesting, and it is easy to cause sugarcane loss and increased head breaking rate, thereby affecting...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a method for cultivating sugarcane seedlings during intertillage based on machine learning, aiming to solve the problems of unstable operation quality and low operation efficiency in the process of cultivating sugarcane intertillage

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